Popular GitHub Repositories for Hyperparameter Optimization

A hyperparameter optimization framework

Automated Machine Learning with scikit-learn

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A Hyperparameter Tuning Library for Keras

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Hyperparameter Experiments with TensorFlow and Keras

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Automated modeling and machine learning framework FEDOT

a distributed Hyperband implementation on Steroids

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Tuning hyperparams fast with Hyperband

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Python code for bayesian optimization using Gaussian processes